Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing

14 September 2020

Papers citing "Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing"

7 / 7 papers shown

Title
Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies Feng Wang M. C. Gursoy Senem Velipasalar AAML 34 1 0 19 Nov 2023
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review Mathias Lundteigen Mohus Jinyue Li AAML 87 1 0 01 Jun 2023
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems Ziad El Jamous Kemal Davaslioglu Y. Sagduyu 54 3 0 02 Nov 2022
Towards Intelligent RAN Slicing for B5G: Opportunities and Challenges EmadelDin A. Mazied Lingjia Liu S. Midkiff 25 5 0 27 Feb 2021
Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing Yi Shi Y. Sagduyu AAML AI4CE 108 30 0 21 Jan 2021
Adversarial Machine Learning for 5G Communications Security Y. Sagduyu T. Erpek Yi Shi AAML 85 43 0 07 Jan 2021
Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities A. Nassar Y. Yilmaz AI4CE 42 60 0 19 Oct 2020